0.5 => 5/10 => 1/2
12.3 => 123/10
0.07 => 7/100
0.625 => 625/1000 => 25/40 => 5/8
You can write 57,467/1,000
Answer:
Step-by-step explanation:
a=0 and b=20 in the uniform density function
∴ the mean μ===10 and
the variance ==.
The standard deviation is the square root of the variance, so
Having determined the mean and standard deviation of the uniform distribution, we can conclude that follows a normal distribution with and .
The normal probability distribution is:
So, substituting and
Having approximated sum , we move on to the standardized sum , which is the same as only with μ=0 and σ=1. This means the probability distribution is the standard normal distribution, which is:
Answer:
-1.75, -1 1/2, -3/4, 1/4, 0.75
Step-by-step explanation:
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Answer:
23/15
Step-by-step explanation: